ObjectiveTo establish a model that can quickly identify the aroma components in different parts of Nardostachys jatamansi， so as to provide a quality control basis for the market circulation and clinical use of N. jatamansi. MethodsHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） combined with Smart aroma database and National Institute of Standards and Technology（NIST） database were used to characterize the aroma components in different parts of N. jatamansi， and the aroma components were quantified according to relative response factor（RRF） and three internal standards， and the markers of aroma differences in different parts of N. jatamansi were identified by orthogonal partial least squares-discriminant analysis（OPLS-DA） and cluster thermal analysis based on variable importance in the projection（VIP） value >1 and P<0.01. The odor data of different parts of N. jatamansi were collected by Heracles Ⅱ Neo ultra-fast gas phase electronic nose， and the correlation between compound types of aroma components collected by the ultra-fast gas phase electronic nose and the detection results of HS-SPME-GC-MS was investigated by drawing odor fingerprints and odor response radargrams. Chromatographic peak information with distinguishing ability≥0.700 and peak area≥200 was selected as sensor data， and the rapid identification model of different parts of N. jatamansi was established by principal component analysis（PCA）， discriminant factor alysis（DFA）， soft independent modeling of class analogies（SIMCA） and statistical quality control analysis（SQCA）. ResultsThe HS-SPME-GC-MS results showed that there were 28 common components in the underground and aboveground parts of N. jatamansi， of which 22 could be quantified and 12 significantly different components were screened out. Among these 12 components， the contents of five components（ethyl isovalerate， 2-pentylfuran， benzyl alcohol， nonanal and glacial acetic acid，） in the aboveground part of N. jatamansi were significantly higher than those in the underground part（P<0.01）， the contents of β-ionone， patchouli alcohol， α-caryophyllene， linalyl butyrate， valencene， 1，8-cineole and p-cymene in the underground part of N. jatamansi were significantly higher than those in the aboveground part（P<0.01）. Heracles Ⅱ Neo electronic nose results showed that the PCA discrimination index of the underground and aboveground parts of N. jatamansi was 82， and the contribution rates of the principal component factors were 99.94% and 99.89% when 2 and 3 principal components were extracted， respectively. The contribution rate of the discriminant factor 1 of the DFA model constructed on the basis of PCA was 100%， the validation score of the SIMCA model for discrimination of the two parts was 99， and SQCA could clearly distinguish different parts of N. jatamansi. ConclusionHS-SPME-GC-MS can clarify the differential markers of underground and aboveground parts of N. jatamansi. The four analytical models provided by Heracles Ⅱ Neo electronic nose（PCA， DFA， SIMCA and SQCA） can realize the rapid identification of different parts of N. jatamansi. Combining the two results， it is speculated that terpenes and carboxylic acids may be the main factors contributing to the difference in aroma between the underground and aboveground parts of N. jatamansi.

ObjectiveTo investigate the effect of Dingzhi Xiaowan （DZXW） in post-stroke cognitive impairment （PSCI） model mice. MethodsThe cerebral ischemia-reperfusion injury model of mice was established by using the middle cerebral artery occlusion method. Forty C57BL/6 male mice were randomly divided into the sham operation group， model group， low-dose DZXW group （1.43 g·kg^-1）， and high-dose DZXW group （2.56 g·kg^-1）， with 10 mice in each group. Both the sham operation group and the model group were treated with equal amounts of normal saline by gavage， and the above four groups of mice were gavaged once a day for 30 consecutive days. Morris water maze test was used to evaluate the learning memory ability of mice. Serum levels of amyloid precursor protein （APP）， amyloid 42 （Aβ₄₂）， acetylcholinesterase （AChE）， and superoxide dismutase （SOD） were measured by enzyme-linked immunosorbent assay （ELISA）. Deoxyribonucleotide end transferase-mediated nick end labelling （TUNEL） assay was applied to detect the degree of apoptosis in the mouse's hippocampal neurons. Western blot was used to detect the protein expression of phosphoinositol-3 kinase （PI3K）， protein kinase B （Akt）， mammalian target of rapamycin （mTOR）， hypoxia-inducible factor 1-alpha （HIF-1α）， B-cell lymphoma 2 （Bcl-2） homologous structural domain protein （Beclin1）， sequestosome 1 （p62）， microtubule-associated protein light chain 3 （LC3）， Bcl-2， and Bcl-2-associated X protein （Bax） in hippocampal tissue. Prussian blue staining was used to detect iron deposition in hippocampal tissue. Transmission electron microscopy was taken to observe the ultrastructure of the mouse's hippocampal neurons. ResultsCompared with the sham operation group， the latency， APP， Aβ₄₂， AChE， TUNEL positivity， ferric ion deposition， HIF-1α， Beclin1， Bax， and LC3Ⅱ/Ⅰ were significantly increased in the model group （P<0.01）， while the number of crossing platforms， SOD， p-PI3K， p-Akt， p-mTOR， p62， and Bcl-2 were significantly decreased （P<0.01）. Compared with the model group， the latency， APP， Aβ₄₂， AChE， TUNEL positivity rate， ferric ion deposition， HIF-1α， Beclin1， Bax， and LC3Ⅱ/Ⅰ were significantly reduced in the DZXW groups （P<0.05）， while the number of crossing platforms， SOD， p-PI3K， p-Akt， p-mTOR， p62， and Bcl-2 were significantly higher （P<0.05）. ConclusionDZXW can alleviate cognitive impairment induced by oxidative stress-aggravated hippocampal neuronal damage in PSCI model mice by modulating the PI3K/Akt/mTOR/HIF-1α autophagy signalling pathway.

This comprehensive review systematically explores the multifaceted applications, inherent challenges, and promising future directions of artificial intelligence (AI) within the medical domain. It meticulously examines AI's specific contributions to basic medical research, disease prevention, intelligent diagnosis, treatment, rehabilitation, nursing, and health management. Furthermore, the review delves into AI's innovative practices and pivotal roles in clinical trials, hospital administration, medical education, as well as the realms of medical ethics and policy formulation. Notably, the review identifies several key challenges confronting AI in healthcare, encompassing issues such as inadequate algorithm transparency, data privacy concerns, absent regulatory standards, and incomplete risk assessment frameworks. Looking ahead, the future trajectory of AI in healthcare encompasses enhancing algorithm interpretability, propelling generative AI applications, establishing robust data-sharing mechanisms, refining regulatory policies and standards, nurturing interdisciplinary talent, fostering collaboration among industry, academia, and medical institutions, and advancing inclusive, personalized precision medicine. Emphasizing the synergy between AI and emerging technologies like 5G, big data, and cloud computing, this review anticipates a new era of intelligent collaboration and inclusive sharing in healthcare. Through a multidimensional analysis, it presents a holistic overview of AI's medical applications and development prospects, catering to researchers, practitioners, and policymakers in the healthcare sector. Ultimately, this review aims to catalyze the deep integration and innovative deployment of AI technology in healthcare, thereby driving the sustainable advancement of smart healthcare.

This article systematically analyzes the historical evolution of the name， origin， quality evaluation， harvesting， processing and other aspects of Picrorhizae Rhizoma by referring to the medical books， prescription books， and other documents of the past dynasties， combined with relevant modern research materials， in order to provide a basis for the development and utilization of famous classical formulas containing this medicinal herb. The research results indicate that Picrorhizae Rhizoma was first recorded in New Revised Materia Medica from the Tang dynasty. Throughout history， Huhuanglian has been used as its official name， and there are also aliases such as Gehu Luze， Jiahuanglian and Hulian. The main source of past dynasties is the the rhizomes of Picrorhiza kurrooa and P. scrophulariiflora. In ancient times， Picrorhizae Rhizoma was mainly imported by foreign traders via Guangzhou and other regions， and also produced in China， mainly in Xizang. In ancient times， it was harvested and dried in early August of the lunar calendar， while in modern times， it is mostly harvested from July to September， with the best quality being those with thick and crispy rhizomes without impurities， and bitter taste. Throughout history， Picrorhizae Rhizoma was collected， washed， sliced， and dried before being used as a raw material for medicine， it has a bitter and cold taste， mainly used to treat bone steaming， hot flashes， infantile chancre fever， and dysentery. There is no significant difference in taste and efficacy between ancient and modern times. Based on the research results， it is recommended that the rhizomes of P. scrophulariiflora in the 2020 edition of Chinese Pharmacopoeia， or the rhizomes of P. kurrooa， can be used in famous classical formulas containing this medicinal herb， which can be processed according to the processing requirements marked by the original formula. For those without clear processing requirements， the dried raw products are used as medicine.

The immunomodulatory， repair， and regeneration-promoting functions of mesenchymal stem cells make them one of the potential treatment methods for liver diseases. At present， viral and non-viral delivery methods have been developed to genetically modify mesenchymal stem cells， and gene modification can promote the survival， homing， and cytokine secretion of mesenchymal stem cells， thereby enhancing the ability of mesenchymal stem cells to treat liver diseases. This article mainly summarizes the research advances in gene-modified mesenchymal stem cells in the treatment of liver diseases， in order to provide new insights and strategies for the clinical treatment of liver diseases.

Objective: To understand classroom environmental conditions and their association with spinal curvature abnormalities among students of primary and secondary schools in Guizhou Province, so as to provide a basis for formulating school health policies and scientific prevention and control measures for abnormal spinal curvature in students. Methods: Using a stratified random sampling method, 471 schools (2 811 classrooms) were selected annually across the province from 2022 to 2024 in order to monitor and evaluate classroom environment according to national standards. Spinal examinations were conducted for 196 606 (2022), 194 876 (2023), and 195 048 (2024) students, and χ 2 test was used to analyze the correlation of desk and chair compliance with student spinal curvature abnormalities. Results: The qualified rates of classroom blackboard illuminance uniformity ( 85.41 %) and the blackboard size (82.24%) were the highest in primary and secondary schools in Guizhou Province, while the average blackboard surface illumination qualified rate (20.10%) was the lowest. The average desk illumination (50.11%-58.63%), desk illumination uniformity (61.92%-72.27%) and qualified noise rate (50.04%-51.94%) increased significantly in 3 years; in addition, the compliance rate of desks and chairs decreased from 25.00% to 13.52%, and the differences were all statistically significant ( χ 2=42.48, 80.93, 46.09, 129.72, all P <0.05). Middle school classrooms outperformed primary schools in terms of per capita area, average blackboard illuminance, blackboard illuminance uniformity, average desktop illuminance, desktop illuminance uniformity, and noise compliance ( χ 2=311.55, 12.41, 20.64, 40.76, 10.25, 52.47), but had lower compliance for blackboard size and reflectance ( χ 2=537.29, 7.59) (all P <0.01). Urban schools had higher compliance than suburban schools for per capita area, average blackboard illuminance, average desktop illuminance, and desktop illuminance uniformity ( χ 2=73.71, 17.68, 29.30 , 36.03), but lower compliance for desk-chair suitability, blackboard size, and blackboard reflectance ( χ 2=4.72, 26.02, 5.43 ) (all P <0.05). The spinal curvature abnormality detection rate was 0.83%. A significant association was found between abnormality detection and desk-chair non compliance ( χ 2=223.85, P <0.01). Conclusions Classroom environment hygiene in Guizhou schools is suboptimal. Strengthening school environmental hygiene infrastructure and greater attention to its impact on student s health are essential.

Objective: To understand the epidemiological characteristics of abnormalities spinal curvature among children and adolescents in Karst landform in Guizhou Province, so as to provide a scientific basis for targeted comprehensive intervention. Methods: From September to December 2023, 194 875 children and adolescents aged 6-18 were selected from all countieldistricts of 9 cities (prefectures) in Guizhou Province by stratified random cluster sampling method according to the proportion of Karst landform area in Guizhou Province for carrying out spinal curvature abnormality screening, and a questionnaire survey was conducted on 139 449 students in the fourth grade and above of primary school. Binary Logistic regression was used for multivariate analysis. Results: The detection rate of abnormal spinal curvature among children and adolescents aged 6-18 in Guizhou Province was 1.13%. The detection rates of abnormal spinal curvature in areas with a high proportion of Karst landform, areas with a low proportion of Karst landform, intercalation areas, and nonKarst landform areas were 1.10%, 2.00%, 0.90%, and 0.60%, respectively. Among them, the detection rates of abnormal spinal curvature in female students (2.40%, 1.60%, 0.90%) in areas with a low proportion of Karst landform, intercalation areas and nonKarst landform were higher than those in male students (1.60%, 0.10%, 0.30) (χ2=12.66, 112.69, 30.22, all P<0.05). The detection rates of abnormal spinal curvature among senior high school students (2.00%, 4.30%, 1.40%, 1.30%) in different Karst landform distributions were successively higher than those among junior high school students (1.40%, 3.20%, 1.00%, 0.60%) and primary school students (0.70%, 0.80%, 0.60%, 0.30%) (χ2=306.11, 175.80, 14.24, 39.57, all P<0.05). The results of multivariate Logistic regression analysis showed that the detection rates of abnormal spinal curvature in both highproportion and lowproportion Karst landform areas were higher than those in nonKarst landform areas [OR(95%CI)=1.84(1.05-2.25), 1.60(1.23-2.09), both P<0.05]. Conclusion The detection rate of abnormal spinal curvature in children and adolescents aged 6-18 in Guizhou Province is related to the distribution of Karst landform, so it is necessary to strengthen screening and appropriate comprehensive interventions.

Objective: To investigate the genetic basis of RhD-negative phenotype in the blood donor population of Nantong City. Methods: RHD genotyping was performed on 386 randomly selected RhD-negative donor samples (from a total of 676 RhD-negative donors identified between January 20, 2023, and June 28, 2024) using polymerase chain reaction (PCR), and the inconclusive results were confirmed by nucleotide sequencing. Results: Ten RHD allele types were identified: The complete deletion variant RHD 01N.01 was predominant (64.25%, 248/386); followed by RHD 01EL.01 (19.69%, 76/386). RHD 01N.03, RHD 01N.04, RHD 01N.16 and RHD 01EL.32 were frequently observed., RHD 01EL.02, RHD 01EL.08, RHD 01EL.37 and RHD 01N.25 were rare, and two exon deletion variants remained uncharacterized. The phenotypic distribution of RhD-negative blood donors was ccee (55.44%)>Ccee(31.09%)>ccEe(5.96%)>CCee(5.44%)>CcEe(1.81%)>CcEE(0.26%), and the antigen distribution trend was e(99.74%)>c(94.56%)>C(38.60%)>E(8.03%). A correlation was observed between RHD genotypes and RhCE phenotypes. Conclusion: The Nantong blood donor population exhibits unique RHD gene polymorphisms. Integrating RhCE serological phenotyping with RHD genotyping is essential for ensuring transfusion safety.

Objective: To investigate the genetic basis of RhD-negative phenotype in the blood donor population of Nantong City. Methods: RHD genotyping was performed on 386 randomly selected RhD-negative donor samples (from a total of 676 RhD-negative donors identified between January 20, 2023, and June 28, 2024) using polymerase chain reaction (PCR), and the inconclusive results were confirmed by nucleotide sequencing. Results: Ten RHD allele types were identified: The complete deletion variant RHD 01N.01 was predominant (64.25%, 248/386); followed by RHD 01EL.01 (19.69%, 76/386). RHD 01N.03, RHD 01N.04, RHD 01N.16 and RHD 01EL.32 were frequently observed., RHD 01EL.02, RHD 01EL.08, RHD 01EL.37 and RHD 01N.25 were rare, and two exon deletion variants remained uncharacterized. The phenotypic distribution of RhD-negative blood donors was ccee (55.44%)>Ccee(31.09%)>ccEe(5.96%)>CCee(5.44%)>CcEe(1.81%)>CcEE(0.26%), and the antigen distribution trend was e(99.74%)>c(94.56%)>C(38.60%)>E(8.03%). A correlation was observed between RHD genotypes and RhCE phenotypes. Conclusion: The Nantong blood donor population exhibits unique RHD gene polymorphisms. Integrating RhCE serological phenotyping with RHD genotyping is essential for ensuring transfusion safety.

As the volume of medical research using large language models (LLM) surges, the need for standardized and transparent reporting standards becomes increasingly critical. In January 2025, Nature Medicine published statement titled by TRIPOD-LLM reporting guideline for studies using large language models. This represents the first comprehensive reporting framework specifically tailored for studies that develop prediction models based on LLM. It comprises a checklist with 19 main items (encompassing 50 sub-items), a flowchart, and an abstract checklist (containing 12 items). This article provides an interpretation of TRIPOD-LLM’s development methods, primary content, scope, and the specific details of its items. The goal is to help researchers, clinicians, editors, and healthcare decision-makers to deeply understand and correctly apply TRIPOD-LLM, thereby improving the quality and transparency of LLM medical research reporting and promoting the standardized and ethical integration of LLM into healthcare.